Triple
T22440401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 伏見櫓 |
E554738
|
entity |
| Predicate | 文化財種別 |
P146748
|
FINISHED |
| Object | 近世城郭建築 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 近世城郭建築 | Statement: [伏見櫓, 文化財種別, 近世城郭建築]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 文化財種別 Context triple: [伏見櫓, 文化財種別, 近世城郭建築]
-
A.
culturalProperty
Indicates that something is recognized or treated as a cultural property, typically denoting legal or heritage status tied to cultural significance.
-
B.
culturalHeritageCategory
chosen
Indicates the classification of something according to its type or category within cultural heritage (e.g., monument, tradition, artifact).
-
C.
文化的評価
Indicates an assessment or judgment of something based on cultural values, norms, or standards.
-
D.
culturalHeritageOf
Indicates that something serves as the cultural heritage belonging to, originating from, or strongly associated with a particular entity or group.
-
E.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae1f82881908a611f134eb03f3d |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.